Sentence examples for matrix by considering from inspiring English sources

This paper provides a novel approach to the transfer matrix by considering its eigenvalues and eigenvectors.

The procedure for converting the wire matrix by considering the sums and differences of the sets of two wire tensions of the DAMs is described first.

First, as explained in Section 2, knowing r provides an easy way of estimating a separating matrix by considering as in (18) the subset X 0 of the samples.

This semantics generalizes logical matrices by considering that multifunctions (rather than functions) interpret the connectives.

As a consequence, in next section, we give some bounds for the Frobenius condition numbers and the cosine of the angle between two positive definite matrices by considering inequalities given for inner product space in this section.

ROCs and PPCs concerning EI models (Figures 4B and 4D) were evaluated comparing the CM and SWM matrices by considering only the excitatory connections.

In the above example, we obtained the m -adic filtration on matrices by considering the generator R / m where R = C [ [ u ] ] and m = (u ).

The reflectivity of the system is given in terms of the matrix elements of the total transfer matrix according to R = M 21 / M 11 2. We have implemented a realistic transfer matrix approach by considering the wavelength dependence of the refractive index as well as the optical absorption.

In addition, our extension provides a new method for solving the heteroscedastic problem and the unreasonable between-class scatter matrix problem by considering the distribution of closing points near the boundary of the various classes.

Second, we use the Latent Bernoulli Mixture (LBM) model [ 1] to generate binary matrices (mixtures) by considering: (a ) Overlapping biclusters (overlapping rate =5%% (well separated), 15%% (fairly separated) and 25%% (poorly separated)).

In this paper, the three above-mentioned procedures, i.e., assembling the stiffness matrix, solving linear equations, and rearranging the stiffness matrix, are implemented by considering a sparse-matrix storage format ("Implementation and GPU parallelization").